---
base_model: ml6team/gpt2-small-german-finetune-oscar
tags:
- generated_from_trainer
model-index:
- name: gpt2-small-german-finetune-oscar-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt2-small-german-finetune-oscar-finetuned

This model is a fine-tuned version of [ml6team/gpt2-small-german-finetune-oscar](https://huggingface.co/ml6team/gpt2-small-german-finetune-oscar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.8729

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7388        | 1.0   | 210  | 5.7127          |
| 0.6451        | 2.0   | 420  | 5.7653          |
| 0.3591        | 3.0   | 630  | 5.8154          |
| 0.3574        | 4.0   | 840  | 5.8520          |
| 0.6094        | 5.0   | 1050 | 5.8755          |
| 1.5115        | 6.0   | 1260 | 5.8729          |


### Framework versions

- Transformers 4.38.0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2